Broadcasting with an Energy Harvesting Rechargeable Transmitter

By Jing Yang, Omur Ozel, Sennur Ulukus. IEEE Transactions on Wireless Communications, 2010

302 citations recorded by the source corpus.

In this paper, we investigate the transmission completion time minimization problem in an additive white Gaussian noise (AWGN) broadcast channel, where the transmitter is able to harvest energy from the nature, using a rechargeable battery. The harvested energy is modeled to arrive at the transmitter during the course of transmissions. The transmitter has a fixed number of packets to be delivered to each receiver. The objective is to minimize the time by which all of the packets are delivered to their respective destinations. To this end, we optimize the transmit powers and transmission rates in a deterministic setting. We first analyze the structural properties of the optimal transmission policy in a two-user broadcast channel via the dual problem of maximizing the departure region by a fixed time T. We prove that the optimal total transmit power sequence has the same structure as the optimal single-user transmit power sequence in . In addition, the total power is split optimally based on a cut-off power level; if the total transmit power is lower than this cut-off level, all transmit power is allocated to the stronger user; otherwise, all transmit power above this level is allocated to the weaker user. We then extend our analysis to an M-user broadcast channel. We show that the optimal total power sequence has the same structure as the two-user case and optimally splitting the total power among M users involves M-1 cut-off power levels. Using this structure, we propose an algorithm that finds the globally optimal policy. Our algorithm is based on reducing the broadcast channel problem to a single-user problem as much as possible. Finally, we illustrate the optimal policy and compare its performance with several suboptimal policies under different settings.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/608b8c9d7ee1d5cb750565e3730c4ddaef087787

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. H. Vincent Poor
2. Alessio Zappone
3. K. Liu
4. Kaibin Huang
5. Aylin Yener
6. Michele Zorzi
7. Pulkit Grover
8. Osvaldo Simeone

In Electrical and Electronic Engineering

1. Rui Zhang
2. H. Vincent Poor
3. Kaibin Huang
4. Aylin Yener
5. Alessio Zappone
6. K. Liu
7. Michele Zorzi
8. Wei Li

Citations in the corpus

• Advances in Energy Harvesting Communications: Past, Present, and Future Challenges (2016, background): “2) Broadcast Channels: In [168], the authors study a transmission completion time minimization problem for an ambient”
• A Survey of Energy-Efficient Techniques for 5G Networks and Challenges Ahead (2016, result): “Previous results have been extended to multi-user networks in [121] and [122], to relay-assisted communications in [123], and to multiple-antenna systems [124].”
• Energy Harvesting Wireless Communications: A Review of Recent Advances (2015, background): “with an energy harvesting transmitter, [17], [19] showed that the optimal total transmit power management policy is the same as the optimal single-user counterpart summarized above, and this optimum total transmit power is distributed among signals going to the users according to a cut-off structure”